Abstract: Example methods, apparatus, systems and articles of manufacture to implement an addressable measurement framework are disclosed. Example apparatus disclosed herein perform a common homes analysis of provider data and panel data to determine a coverage footprint associated with the provider data, the provider data including at least one of return path data reported by a plurality of set-top boxes or automatic content recognition data reported by a plurality of smart media devices, and the panel data reported by media device meters. Disclosed example apparatus also weight a portion of the provider data based on the common homes analysis, weight a portion of the panel data based on the common homes analysis, and calculate an addressable advertisement rating based on the weighted portion of the provider data and the weighted portion of the panel data.

Abstract: Systems and methods are described for controlling media content based on user presence information. A user interaction with playing of a first media asset generated for presentation at a consumption device may be identified, and in response, historical wireless signal characteristics of a wireless network, over which wireless signals are used to generate for display the first media asset, may be determined. While a second media asset is generated for display, the second media asset at the consumption device may be modified based on user presence information determined by comparing current wireless signal characteristics of the wireless network to the historical wireless signal characteristics of the wireless network.

Abstract: A system and method for automatically controlling a mode on a set top box [100]. The method comprises identifying, from a set of pre-stored contextual information, a target pre-stored contextual information associated with an entity. The method further comprises identifying, a usage preference associated with the entity based on the target pre-stored contextual information. Thereafter the method leads to identifying, one of a presence and an absence of the entity in the vicinity of the set top box [100] based on the target pre-stored contextual information and a sensor data. The method thereafter comprises automatically controlling, the mode on the set top box [100] based on the usage preference associated with the entity and one of the presence and the absence of the entity in the vicinity of the set top box [100].

Abstract: Embodiments are directed towards selecting content search results based on the age of the viewer. The content receiver receives search criteria for a viewer, which may include the age of the viewer. The content receiver obtains search results from a search of a plurality of content. The search results are prioritized based on the age of the viewer and presented to the viewer. In this way, searching for “dog” for a four year-old may provide or prioritize different results compared to search for “dog” for an eight year-old.

Abstract: Methods, apparatus, systems and articles of manufacture to assign viewers to media meter data are disclosed. An apparatus includes processor circuitry to execute computer readable instructions to at least: identify a candidate household from a plurality of second households to associate with a first household based on an analysis of a first duration of time first media was presented by a first media presentation device and a second duration of time second media was presented by second media presentation devices; match different ones of first panelists of the first household with matching ones of second panelists of the candidate household; and impute respective portions of the first duration of time to the different ones of the first panelists based on portions of the second duration of time for which the matching ones of the second panelists of the candidate household were exposed to the second media.

Abstract: A computer-implemented method for enabling shared media interactions may include (i) identifying a group message thread that is composed of messages between a group of users, (ii) detecting that a user in the group of users is interacting with a media item posted in the group message thread, (iii) in response to detecting that the user is interacting with the media item, initiating a shared media interaction session in the group message thread for the media item, and (iv) notifying the group of users that the shared media interaction session is available in the group message thread. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Systems and methods are described for storing programs. For example, a media guidance application (e.g., executed on a server) may determine that a user has been watching a program (e.g., a movie) for longer than a particular time threshold (e.g., 20 minutes for a movie), and that the user has requested to access a different program (e.g., an episode of a series broadcast on another channel). In response to determining that the user has been watching the program (e.g., the movie) for longer than the particular time threshold (e.g., 20 minutes for the movie), and that the user has requested to access the different program (e.g., the episode of a series broadcast on another channel), the media guidance application may perform an action to store the initial program (e.g., the movie) before executing the request to access the different program.

Abstract: A system for interactive product sampling and obtaining real-time consumer feedback to generate qualitative insights is described. The system may include an interactive imaging device, a sampling subsystem, a graphical user interface, a back-end system. The sampling subsystem dispenses product samples and obtains audio, video, or textual feedback from consumers. The system may perform sentimental and emotional analysis of video feedback to capture facial expressions and reactions of the consumer consuming the product samples. The system may use a trained model to generate qualitative insights from the feedback. Related methods, computer readable media, computer program product, apparatuses, and techniques are also described.

Abstract: Appropriate housing equipment according to the physical ability of a trainee who has performed rehabilitation in order to restore or maintain the physical ability is easily presented. A housing equipment presentation apparatus includes a storage unit configured to store definition information defining housing equipment information according to a physical ability, an acquisition unit configured to externally acquire physical ability information of a trainee who has performed training in order to restore or maintain his/her physical ability, a conversion unit configured to convert the acquired physical ability information into the housing equipment information based on the definition information, and an output unit configured to output presentation information including the converted housing equipment information.

Abstract: Techniques for projecting household-level viewing events are described herein. Population data may be accessed including classes of a plurality of demographic attributes for households in a market. Representative household units (RHUs) may be generated, and the RHUs may be assigned a class for each of the demographic attributes and a quota based on the demographic attributes of a plurality of panelist households. Each of the panelist households may be assigned to one of the RHUs based on at least one panelist classes matching the classes for respective demographic attributes of the RHU, and the number of matching panelist households assigned to each of the RHU may be based on the quota. Panelist viewing data representing viewing events associated with the panelist household may be accessed. A report may be generated with the classes of the RHUs and the panelist viewing data of the assigned panelist households.

Abstract: Example apparatus disclosed herein are to receive a log file, compare a first media monitor identification associated with an audio signature, a second media monitor identification associated with media metadata, and a third media monitor identification associated with event metadata. Disclosed example apparatus are also to determine if a first timestamp associated with the audio signature is within a time period, wherein the time period begins with a second timestamp associated with the media metadata and ends with a third timestamp associated with the event metadata. Disclosed example apparatus are also to validate that the audio signature satisfies a threshold for being stored as a reference signature based on at least one of the media metadata, the event metadata, the first timestamp, the second timestamp, or the third timestamp. Disclosed example apparatus are also to generate the reference signature including assigning the media metadata to the audio signature.

Abstract: A method implemented by one or more computing systems includes accessing content viewing data associated with a first user account, wherein the first user account is associated with one or more client devices. The content viewing data includes temporal-based content viewing data. The method further includes determining, using one or more sequence models, a set of content viewing features based on the temporal-based content viewing data, and concatenating the content viewing features into a single computational array. The method further includes providing, through one or more dense layers of a deep-learning model, the single computational array to an output layer of the deep-learning model, and calculating, based on the output layer, one or more probabilities for one or more labels for the first user account. Each label includes a predicted attribute for the first user account.

Abstract: Devices, computer-readable media, and methods for presenting segments of at least one video program in accordance with a definition document are disclosed. For example, a processor may load a definition document for at least one video program. The definition document may specify segments of the at least one video program for presentation and further specify segment types for the segments. The segment types may identify whether a segment is to include video content, include audio content, or include both video and audio content. The processor may further obtain the at least one video program, present a first segment of the at least one video program in accordance with the definition document, and present a second segment of the plurality of segments of the at least one video program in accordance with the definition document.

Abstract: Introduced herein are methods and systems for determining machine learning marketing strategy. For example, a computer-implemented method according to the disclosed technology includes steps of identifying one or more business metrics to be driven by a marketing plan; generating one or more response functions of the business metrics by performing a machine learning process on a marketing dataset; optimizing a spending subject of the marking plan subject to constraints to generate a marketing strategy based on multiple decision variables; and presenting the marketing strategy to an advertiser.

Abstract: Systems, methods, devices, instructions, and media are described for generating suggestions for connections between accounts in a social media system. One embodiment involves storing connection graph information for a plurality of user accounts, and identifying, by one or more processors of the device, a first set of connection suggestions based on a first set of suggestion metrics. A second set of connection suggestions is then identified based on a second set of suggestion metrics, wherein the second set of connection suggestions and the second set of suggestion metrics are configured to obscure the first set of connection suggestions, and a set of suggested connections is generated based on the first set of connection suggestions and the second set of connection suggestions. The set of connection suggestions is then communicated to a client device method associated with the first account.

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and control systems to provide a platform to implement automated responses to data representing electronic messages, among other things, and, more specifically, to an automated predictive response computing system independent of electronic communication channel of an electronic message payload, the automated predictive response computing system being configured to, for example, implement a universal data space based on, at least in part, conversational data flows, which may be classified and used to provide a predictive response to assist resolution, such as assisting an agent among other things. In an example, a method may include augmenting at least a subset of one or more portions of communication data, implementing augmented communication portion data to determine a predicted response, and generating data to facilitate the predicted response based on the subset of inbound electronic messages.

Abstract: Methods, systems, and storage media for classifying content across media formats based on weak supervision and cross-modal training are disclosed. The system can maintain a first feature classifier and a second feature classifier that classifies features of content having a first and second media format, respectively. The system can extract a feature space from a content item using the first feature classifier and the second feature classifier. The system can apply a set of content rules to the feature space to determine content metrics. The system can correlate a set of known labelled data to the feature space to construct determinative training data. The system can train a discrimination model using the content item and the determinative training data. The system can classify content using the discrimination model to assign a content policy to the second content item.

Abstract: According to an aspect, there is provided a computing device for performing the following. The computing device obtains, in a code editor, one or more logical lines of code for a program. The computing device predicts, using a first prediction algorithm, one or more most probable next program instructions based on said one or more logical lines of code and displays them to the user. In response to receiving a selection of a program instruction, the computing device inserts a selected program instruction to the code editor. The computing device predicts, using a second prediction algorithm, one or more most probable sets of zero or more parameters based on a selected program instruction and said one or more logical lines of code and displays them to the user. In response to receiving a selection of a set, the computing device inserts a selected set to the code editor.

Abstract: Example apparatus to improve timestamp transition resolution of watermarks are disclosed. A disclosed example apparatus is to decode timestamps in respective ones of detected watermarks, estimate a first transition window indicative of a transition between a first time period to a second time period based on a first one of the timestamps and a second one of the timestamps, and when the first transition window does not satisfy a threshold, estimate a second transition window indicative of a transition between the second time period and a third time period based on the second one of the timestamps and a third one of the timestamps. The disclosed example apparatus is also to determine a first mapped transition window based on an intersection of the first transition window and the second transition window, and set the first mapped transition window as a reference time transition window for subsequent time periods.

Abstract: A video processing apparatus includes a registration component that registers configuration information associated with the video information; a filter component that filters the video frame such that all but the area of interest is excluded in a filtered video frame; a configuration component that configures a plurality of neural networks in at least one of a parallel configuration, sequential configuration, mixed parallel and sequential configuration that provides a configured plurality of neural networks; a processing component that processes the filtered video frame using the configured plurality of neural networks that provides insight information; a display that provides insight information to a user; and a storage component that stores the configuration information and insight information in persistent cloud-based storage. A corresponding method of processing video information and computer-readable medium are also disclosed.

Abstract: An apparatus for delivering virtual reality data portions to a client device, including a processing unit configured to perform the following in each one of a plurality of iterations: (1) receive from a network a current orientation data indicating a current orientation of a client device, (2) apply a rotation to a segment of a sphere defined in a virtual reality (VR) video file according to the current orientation, (3) crop from the rotated segment of the sphere in an equirectangular projection format an extended field of view (EFOV) frame in the equirectangular projection format according to the current orientation, and (4) instruct the network to transmit the EFOV frame to the client device.

Abstract: A system and method receive a first signal at one or more processors of a promotional system that indicates automatic detection of presentation of a commercial, determine one or more online advertising settings associated with at least one of a product, service, or entity of interest in the commercial that was detected, and determine a current setting for the one or more online advertising settings from a search engine system. The online advertising settings are associated with a website of interest of the at least one of the product, service, or entity of interest. The system and method also send a second signal to the search engine system that temporarily changes the one or more online advertising settings during a time period following detection of the presentation of the commercial.

Abstract: A method for video quality assessment implemented by a computing device, where the method includes selecting a first set of frames from an input video source, determining features of the first set of frames for input into a first machine learning model, applying the first machine learning model to the features of the first set of frames to obtain a video quality score and a confidence score, and triggering a retraining of the first machine learning model in response to the confidence score being determined to be out of bounds.

Abstract: Systems and methods for determining, based on recommendations provided by users that have consumed a media asset, which consumption options may be configured on a media device such that when configured enhance the user viewing experience for a specific media asset. The method includes accessing comments posted by other users that have consumed the media asset. The comments are analyzed to determine a consumption option recommendation. If the number of comments meet a threshold value, then the system either automatically configures the media device or configures the media device upon user approval with the recommended consumption option. The recommendation to configure a consumption option on the media device is made only if the recommendation is supported by the media device. The system also detects through audio and image analysis which users are consuming the media asset and accordingly configures the consumption options to their preferences.

Abstract: A method for serving an audio-only shared content on a video sharing web site, including: receiving a playlist listing a plurality of videos; determining a content identification (content-id) for the plurality of the videos in the playlist; determining that the content-id for the plurality of videos corresponds to an audio-related category; selecting audio-only shared content based on the determination that the content-id corresponds to the audio-related category; and inserting the audio-only shared content between two of the plurality of videos.

Abstract: Example methods, apparatus, systems and articles of manufacture to implement an addressable measurement framework are disclosed. Example apparatus disclosed herein perform a common homes analysis of provider data and panel data to determine a coverage footprint associated with the provider data, the provider data including at least one of return path data reported by a plurality of set-top boxes or automatic content recognition data reported by a plurality of smart media devices, and the panel data reported by media device meters. Disclosed example apparatus also weight a portion of the provider data based on the common homes analysis, weight a portion of the panel data based on the common homes analysis, and calculate an addressable advertisement rating based on the weighted portion of the provider data and the weighted portion of the panel data.

Abstract: Methods, apparatus, systems and articles of manufacture to assign viewers to media meter data are disclosed. An apparatus includes memory, and a processor to execute instructions to: determine first probabilities for first panelists in a first household based on a first number of minutes of first media presented by a first media presentation device monitored by a first meter, determine second probabilities for second panelists in a plurality of second households based on a second number of minutes of second media presented by second media presentation devices monitored by a plurality of second meters, compare the first probabilities and the second probabilities to identify a candidate household from the plurality of second households to associated with the first household, and impute respective portions of the first number of minutes to corresponding ones of the first panelists when monitored behavior of the candidate household matches monitored behavior of the first household.

Abstract: An electronic device includes one or more sensors capturing media content while the electronic device is situated at a media content capture location. A user interface receives user input requesting transmission of the media content to another electronic device at a user input reception location. A location detector determines whether the media content capture location and the user input reception location are substantially different locations. One or more processors at least temporarily preclude, in response to the user input, the transmission of the media content to the other electronic device when the location detector determines that the media content capture location and the user input reception location are substantially different locations.

Abstract: Systems and methods for tracking media file playback are provided. A request to upload a media file and metadata associated with the media file is received. Next, the media file and metadata is uploaded via a blockchain protocol. Next, a request to play the media file is received from a client device or a digital service provider (DSP) platform. The request to play the media file is validated via the blockchain protocol. Upon validating the request to play the media file, the media file is transmitted for playback at the client device or DSP platform. Last, the number of times the media file is played is tracked via the blockchain protocol.

Abstract: A platform configured to provide virtual glass in order to augment and improve focus group sessions for each actor within the ecosystem. The platform may be configured to allow a moderator, one or more test subjects, and one or more client users to participate in a focus group session at geographically diverse locations. The platform may also be configured to supplement the focus group experience by allowing for dialog and communication between the client users. In some cases, the platform may also be configured to generate and provide real time status indicators associate with the tests subject, real time text-based transcripts of the sessions, and recommendations as to the focus group direction to the moderator.

Abstract: A system and method for predicting user demographics based on a user's television, or media, viewing habits using machine learning algorithms is provided. A method of predicting a user's demographics comprises acquiring training data including one or more household data, person identification data, program title data, or watch time data. The method includes assessing a set of features. In addition, the method includes training one or more models based on the training data and set of features. The method includes acquiring viewing history data associated with at least one user. The method further includes determining one or more attributes associated with the at least one user based on inputting the viewing history data into the one or more models.

Abstract: Systems and methods presented herein provide for intelligent routing of requests for insertion of advertisements into content. A network element, communicatively coupled to content distributers and to advertisement decision servers (ADSs), is operable to receive a Society of Cable Telecommunications Engineers (SCTE) 130-3 request from a content distributer for advertisements to be inserted into a content selection. In response to receiving the SCTE 130-3 request, the network element communicates a request for advertisements to the ADSs, receives advertisements from each, determines a number of advertisement opportunities in the content selection, determines values of the advertisements from the ADSs, selects a portion of the advertisements from the ADSs that fulfills all of the advertisement opportunities in the content selection and that provides the most value, and combines the selected portion of the advertisements from the ADSs in a response to the content distributer for insertion into the content.

Abstract: An audio encoder for encoding an audio signal includes: a first encoding processor for encoding a first audio signal portion in a frequency domain, wherein the first encoding processor includes: a time frequency converter for converting the first audio signal portion into a frequency domain representation having spectral lines up to a maximum frequency of the first audio signal portion; a spectral encoder for encoding the frequency domain representation; a second encoding processor for encoding a second different audio signal portion in the time domain; a cross-processor for calculating, from the encoded spectral representation of the first audio signal portion, initialization data of the second encoding processor, so that the second encoding processing is initialized to encode the second audio signal portion immediately following the first audio signal portion in time in the audio signal; a controller configured for analyzing the audio signal and for determining, which portion of the audio signal is the firs

Abstract: A system or method selects among multiple tuners to tune a particular channel. A request is received to tune a first channel. In response to this request, a first tuner is assigned to tune the first channel. A request is received to tune a second channel. If the program tuned by the first tuner is not being recorded, the first tuner is assigned to tune the second channel. If the program tuned by the first tuner is being recorded, the second tuner is assigned to tune the second channel.

Abstract: In a computer-implemented method for performing intent-based search of media files, a search query for searching media files of a library of media files is received from an electronic device. The search query includes a user-entered search term and additional search information related to an intent of a user. The library of media files is searched for media files according to the search query. Search results are returned to the electronic device, the search results including a listing of media files satisfying the user-entered search term and prioritized according to the additional search information related to the intent of the user.

Abstract: Systems and methods are provided for identifying and rendering content relevant to a user's current mental state and context. In an aspect, a system includes a state component that determines a state of a user during a current session of the user with the media system based on navigation of the media system by the user during the current session, media items provided by the media system that are played for watching by the user during the current session, and a manner via which the user interacts with or reacts to the played media items. In an aspect, the state of the user includes a mood of the user. A selection component then selects a media item provided by the media provider based on the state of the user, and a rendering component effectuates rendering of the media item to the user during the current session.

Abstract: An embodiment provides a method, including: receiving data relating to a first command from a user; recognizing the data relating to the first command as being directed to a first user device; receiving data relating to a second command from a user; recognizing the data relating to the second command as being directed to a second user device; determining that the first user device and the second user device are to be paired with one another based on the data relating to the first command and the data relating to the second command; and pairing the first device with the second device; wherein one or more of the data relating to the first command and the data relating to the second command comprises data related to a non-touch input modality. Other aspects are described and claimed.

Abstract: Methods, systems, and media for transferring playback of media content are provided.

Abstract: Embodiments are directed towards selecting content search results based on the age of the viewer. The content receiver receives search criteria for a viewer, which may include the age of the viewer. The content receiver obtains search results from a search of a plurality of content. The search results are prioritized based on the age of the viewer and presented to the viewer. In this way, searching for “dog” for a four year-old may provide or prioritize different results compared to search for “dog” for an eight year-old.

Abstract: In some embodiments, a method receives a list of ranked entities for video playback for a first interface in a first layout. The list of ranked entities being ranked based on personalized information for a user account. The list of ranked entities is used to determine an ordering of entities in slots of an electronic programming guide. The slots of the electronic programming guide display the entities in a second layout based on a time dimension. The method outputs information to display at least a portion of the entities in the electronic programming guide based on the ordering of entities.

Abstract: Embodiments of this application provide a seed group spreading method performed at a server. The method includes the following steps: obtaining a positive sample set; obtaining a negative sample set; concatenating each positive sample in the positive sample set with a corresponding positive sample feature to form a positive sample feature vector, and concatenating each negative sample in the negative sample set with a corresponding negative sample feature to form a negative sample feature vector; obtaining a target sample feature set from the positive sample feature vector and the negative sample feature vector according to at least two of a target group index, an information gain, and a logistic regression model; and sending the target sample feature set to a decision end, receiving feedback information of the decision end, and determining, according to the feedback information, whether to spread the seed group.

Abstract: A multimedia content selection system includes at least one processor executing instructions for performing operations. The operations include receiving a playback request from a playback unit, including a content identifier, providing, to the playback unit, a manifest with at least a set of content segment identifiers based on the content identifier, each content segment identifier identifying a content segment associated with a content stream, receiving a content stream request comprising one of the content segment identifiers, and selecting a segment for playback from the content segment associated with the received content segment identifier, determined using a set of content selection rules.

Abstract: Channel identifiers in electronic program guide (EPG) data are consolidated for one or more EPG providers, and the consolidated channel identifiers are used to automatically process audience measurement data.

Abstract: Provided is an information processing device including an output control unit that controls presentation of content to a user, and when a non-viewing/listening period is detected in a viewing and listening behavior of the user corresponding to the content, causes a summary of the content to be output. The output control unit determines an amount of information in the summary of the content, based on the length of the non-viewing/listening period. Moreover, provided is an information processing method including: by a processor, controlling presentation of content to a user; and when a non-viewing/listening period is detected in a viewing and listening behavior of the user corresponding to the content, causing a summary of the content to be output. The causing the summary of the content to be output further includes determining an amount of information in the summary of the content, based on the length of the non-viewing/listening period.

Abstract: A method of propagating data packets in a network of nodes is disclosed. The method, implemented at one of the nodes, includes: generating at least one data packet of a first type; collecting a set of data packets of the first type during a first time period, the set including the at least one generated data packet and at least one data packet of the first type received from one or more first nodes in the network; and for each data packet in the set: randomly select two or more neighbouring nodes connected to said one of the nodes; transmit, to each of the two or more selected neighbouring nodes: the data packet, wherein the two or more selected neighbouring nodes are configured to relay the data packet to one or more second nodes in the network using a mode of data propagation that is arbitrarily selected for that neighbouring node. The invention is particularly suited for implementation on a blockchain network such as, for example, the Bitcoin blockchain.

Abstract: The illustrative embodiments described herein provide systems and methods for managing advertisements for advertisers. In one embodiment, a method includes receiving a set of advertising preferences from an advertiser. The set of advertising preferences includes advertiser-definable criteria controlling when to initiate an advertisement associated with the advertiser. The method also includes monitoring a set of events associated with event data to determine whether to initiate the advertisement during an event. The set of events are viewable on an interfacing device associated with a user. The method also includes initiating the advertisement during the event in response to the event data for the event meeting the criteria defined by the advertiser.

Abstract: A set-top box with self-monitoring and system and method for use of the same are disclosed. In one embodiment of the set-top box, a housing secures a television input, a television output, a processor, memory, and storage therein, which are communicatively interconnected by a busing architecture. The memory is accessible to the processor, and the memory includes processor-executable instructions that, when executed, cause the processor to detect when the television is not being utilized. Responsive thereto, the instructions cause the processor to scan channels received from the television input and generate a composite TV screen image data that may be resolved to a single TV screen image made from an assemblage of TV screen image captures corresponding to the scanned channels.

Abstract: Techniques are provided for user behavior analytics using keystroke analysis of pseudo-random data strings. One method comprises obtaining timestamps corresponding to keystroke activities on a device of a user associated with typing a pseudo-random character string comprising multiple characters, wherein at least one timestamp is adjusted based on errors associated with the typing of the pseudo-random character string; determining a time difference between keystroke activities associated with the pseudo-random character string using at least one adjusted timestamp; obtaining a time difference distribution for a subset of character sequences in the pseudo-random character string; determining a probability value for one or more character sequences in the subset; and determining an aggregate probability value for the pseudo-random character string based on the probability values.

Abstract: Aspects of the subject disclosure may include, for example, a device that includes a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations such as collecting historical data on viewership of media content; gathering metadata of events in the media content; training a scoring model on the metadata and historical data, wherein the scoring model ranks placement choices and provide a score for each placement choice for advertisements within the media content; and evaluating a placement choice for ad completion rate, thereby generating an evaluation of the placement choice. Other embodiments are disclosed.

Abstract: Methods and systems are described for providing advanced programmatic advertising targeting. In one embodiment, a system includes a storage medium to store instructions of one or more performance based algorithms and processing logic coupled to the storage medium. In response to receiving a function call from an advertising entity, the processing logic is configured to execute the instructions of the one or more performance based algorithms to analyze parameters of the function call including an advertising cost budget for an ad campaign and analyze advanced targeting data and parameters and rules for determining a customized ad campaign for the advertising entity. The advanced targeting data and parameters include device characteristics and user characteristics including at least one of conversion rate, ad engagement rate, installed software application (app) type on a user's device, and in-app purchase (IAP) activity of a user from any ad source.